Stress indicators for frontline COVID-19 healthcare workers

Evidation Health

About the Project

Using wearable, survey, and biomedical data from healthcare workers measured during the pandemic, we aim to identify variables indicative of stress such as sleep patterns, heart rate, PTSD, etc. We hope that our findings will give insights into how wearable technology can help detect stress in this population. The features we used primarily came from wearable and survey data such as the Oura Ring, Daily Stress Measure, PTSD, Adverse Childhood Events (ACE), and Demographics datasets that were provided from Synapse database. We built two models: Logistic and Mixed Effects. The mixed effects models work well for models capturing stress within participants and the Logistic Regression was used to narrow down significant indicators of stress. 

 Student Team

  • Priscilla Siow
  • Sarah Schlund
  • Eric Wang
  • Ali Vakilimafakheri


  • Eric J. Daza, Sponsor
  • Alexander Franks, Faculty


About Evidation Health

Evidation measures health in everyday life and enables anyone to participate in ground-breaking research and health programs. Built upon a foundation of user privacy and control over permissioned health data, Evidation's Achievement platform is trusted by millions of individuals—generating data with unprecedented speed, scale, and rigor. We partner with leading healthcare companies to understand health and disease outside the clinic walls. Guided by our mission to enable and empower everyone to participate in better health outcomes, Evidation is working to bring people individualized, proactive, and accessible healthcare—faster. Founded in 2012, Evidation Health is headquartered in California with additional offices around the globe. To learn more, visit, or follow us on Twitter @evidation.